first implementation of BlockGenerator iteration mechanism

[pygr.git] / pygr / sqlgraph.py

from __future__ import generators
from mapping import *
from sequence import SequenceBase, DNA_SEQTYPE, RNA_SEQTYPE, PROTEIN_SEQTYPE
import types
from classutil import methodFactory,standard_getstate,\
     override_rich_cmp,generate_items,get_bound_subclass,standard_setstate,\
     get_valid_path,standard_invert,RecentValueDictionary,read_only_error,\
     SourceFileName, split_kwargs
import os
import platform 
import UserDict
import warnings
import logger
    
class TupleDescriptor(object):
    'return tuple entry corresponding to named attribute'
    def __init__(self, db, attr):
        self.icol = db.data[attr] # index of this attribute in the tuple
    def __get__(self, obj, klass):
        return obj._data[self.icol]
    def __set__(self, obj, val):
        raise AttributeError('this database is read-only!')

class TupleIDDescriptor(TupleDescriptor):
    def __set__(self, obj, val):
        raise AttributeError('''You cannot change obj.id directly.
        Instead, use db[newID] = obj''')

class TupleDescriptorRW(TupleDescriptor):
    'read-write interface to named attribute'
    def __init__(self, db, attr):
        self.attr = attr
        self.icol = db.data[attr] # index of this attribute in the tuple
        self.attrSQL = db._attrSQL(attr, sqlColumn=True) # SQL column name
    def __set__(self, obj, val):
        obj.db._update(obj.id, self.attrSQL, val) # AND UPDATE THE DATABASE
        obj.save_local(self.attr, val)

class SQLDescriptor(object):
    'return attribute value by querying the database'
    def __init__(self, db, attr):
        self.selectSQL = db._attrSQL(attr) # SQL expression for this attr
    def __get__(self, obj, klass):
        return obj._select(self.selectSQL)
    def __set__(self, obj, val):
        raise AttributeError('this database is read-only!')

class SQLDescriptorRW(SQLDescriptor):
    'writeable proxy to corresponding column in the database'
    def __set__(self, obj, val):
        obj.db._update(obj.id, self.selectSQL, val) #just update the database

class ReadOnlyDescriptor(object):
    'enforce read-only policy, e.g. for ID attribute'
    def __init__(self, db, attr):
        self.attr = '_'+attr
    def __get__(self, obj, klass):
        return getattr(obj, self.attr)
    def __set__(self, obj, val):
        raise AttributeError('attribute %s is read-only!' % self.attr)


def select_from_row(row, what):
    "return value from SQL expression applied to this row"
    sql,params = row.db._format_query('select %s from %s where %s=%%s limit 2'
                                      % (what,row.db.name,row.db.primary_key),
                                      (row.id,))
    row.db.cursor.execute(sql, params)
    t = row.db.cursor.fetchmany(2) # get at most two rows
    if len(t) != 1:
        raise KeyError('%s[%s].%s not found, or not unique'
                       % (row.db.name,str(row.id),what))
    return t[0][0] #return the single field we requested

def init_row_subclass(cls, db):
    'add descriptors for db attributes'
    for attr in db.data: # bind all database columns
        if attr == 'id': # handle ID attribute specially
            setattr(cls, attr, cls._idDescriptor(db, attr))
            continue
        try: # check if this attr maps to an SQL column
            db._attrSQL(attr, columnNumber=True)
        except AttributeError: # treat as SQL expression
            setattr(cls, attr, cls._sqlDescriptor(db, attr))
        else: # treat as interface to our stored tuple
            setattr(cls, attr, cls._columnDescriptor(db, attr))

def dir_row(self):
    """get list of column names as our attributes """
    return self.db.data.keys()

class TupleO(object):
    """Provides attribute interface to a database tuple.
    Storing the data as a tuple instead of a standard Python object
    (which is stored using __dict__) uses about five-fold less
    memory and is also much faster (the tuples returned from the
    DB API fetch are simply referenced by the TupleO, with no
    need to copy their individual values into __dict__).

    This class follows the 'subclass binding' pattern, which
    means that instead of using __getattr__ to process all
    attribute requests (which is un-modular and leads to all
    sorts of trouble), we follow Python's new model for
    customizing attribute access, namely Descriptors.
    We use classutil.get_bound_subclass() to automatically
    create a subclass of this class, calling its _init_subclass()
    class method to add all the descriptors needed for the
    database table to which it is bound.

    See the Pygr Developer Guide section of the docs for a
    complete discussion of the subclass binding pattern."""
    _columnDescriptor = TupleDescriptor
    _idDescriptor = TupleIDDescriptor
    _sqlDescriptor = SQLDescriptor
    _init_subclass = classmethod(init_row_subclass)
    _select = select_from_row
    __dir__ = dir_row
    def __init__(self, data):
        self._data = data # save our data tuple

def insert_and_cache_id(self, l, **kwargs):
    'insert tuple into db and cache its rowID on self'
    self.db._insert(l) # save to database
    try:
        rowID = kwargs['id']  # use the ID supplied by user
    except KeyError:
        rowID = self.db.get_insert_id() # get auto-inc ID value
    self.cache_id(rowID) # cache this ID on self

class TupleORW(TupleO):
    'read-write version of TupleO'
    _columnDescriptor = TupleDescriptorRW
    insert_and_cache_id = insert_and_cache_id
    def __init__(self, data, newRow=False, **kwargs):
        if not newRow: # just cache data from the database
            self._data = data
            return
        self._data = self.db.tuple_from_dict(kwargs) # convert to tuple
        self.insert_and_cache_id(self._data, **kwargs)
    def cache_id(self,row_id):
        self.save_local('id',row_id)
    def save_local(self,attr,val):
        icol = self._attrcol[attr]
        try:
            self._data[icol] = val # FINALLY UPDATE OUR LOCAL CACHE
        except TypeError: # TUPLE CAN'T STORE NEW VALUE, SO USE A LIST
            self._data = list(self._data)
            self._data[icol] = val # FINALLY UPDATE OUR LOCAL CACHE

TupleO._RWClass = TupleORW # record this as writeable interface class
        
class ColumnDescriptor(object):
    'read-write interface to column in a database, cached in obj.__dict__'
    def __init__(self, db, attr, readOnly = False):
        self.attr = attr
        self.col = db._attrSQL(attr, sqlColumn=True) # MAP THIS TO SQL COLUMN NAME
        self.db = db
        if readOnly:
            self.__class__ = self._readOnlyClass
    def __get__(self, obj, objtype):
        try:
            return obj.__dict__[self.attr]
        except KeyError: # NOT IN CACHE.  TRY TO GET IT FROM DATABASE
            if self.col==self.db.primary_key:
                raise AttributeError
            self.db._select('where %s=%%s' % self.db.primary_key,(obj.id,),self.col)
            l = self.db.cursor.fetchall()
            if len(l)!=1:
                raise AttributeError('db row not found or not unique!')
            obj.__dict__[self.attr] = l[0][0] # UPDATE THE CACHE
            return l[0][0]
    def __set__(self, obj, val):
        if not hasattr(obj,'_localOnly'): # ONLY CACHE, DON'T SAVE TO DATABASE
            self.db._update(obj.id, self.col, val) # UPDATE THE DATABASE
        obj.__dict__[self.attr] = val # UPDATE THE CACHE
##         try:
##             m = self.consequences
##         except AttributeError:
##             return
##         m(obj,val) # GENERATE CONSEQUENCES
##     def bind_consequences(self,f):
##         'make function f be run as consequences method whenever value is set'
##         import new
##         self.consequences = new.instancemethod(f,self,self.__class__)
class ReadOnlyColumnDesc(ColumnDescriptor):
    def __set__(self, obj, val):
        raise AttributeError('The ID of a database object is not writeable.')
ColumnDescriptor._readOnlyClass = ReadOnlyColumnDesc
    


class SQLRow(object):
    """Provide transparent interface to a row in the database: attribute access
       will be mapped to SELECT of the appropriate column, but data is not 
       cached on this object.
    """
    _columnDescriptor = _sqlDescriptor = SQLDescriptor
    _idDescriptor = ReadOnlyDescriptor
    _init_subclass = classmethod(init_row_subclass)
    _select = select_from_row
    __dir__ = dir_row
    def __init__(self, rowID):
        self._id = rowID


class SQLRowRW(SQLRow):
    'read-write version of SQLRow'
    _columnDescriptor = SQLDescriptorRW
    insert_and_cache_id = insert_and_cache_id
    def __init__(self, rowID, newRow=False, **kwargs):
        if not newRow: # just cache data from the database
            return self.cache_id(rowID)
        l = self.db.tuple_from_dict(kwargs) # convert to tuple
        self.insert_and_cache_id(l, **kwargs)
    def cache_id(self, rowID):
        self._id = rowID

SQLRow._RWClass = SQLRowRW



def list_to_dict(names, values):
    'return dictionary of those named args that are present in values[]'
    d={}
    for i,v in enumerate(values):
        try:
            d[names[i]] = v
        except IndexError:
            break
    return d


def get_name_cursor(name=None, **kwargs):
    '''get table name and cursor by parsing name or using configFile.
    If neither provided, will try to get via your MySQL config file.
    If connect is None, will use MySQLdb.connect()'''
    if name is not None:
        argList = name.split() # TREAT AS WS-SEPARATED LIST
        if len(argList)>1:
            name = argList[0] # USE 1ST ARG AS TABLE NAME
            argnames = ('host','user','passwd') # READ ARGS IN THIS ORDER
            kwargs = kwargs.copy() # a copy we can overwrite
            kwargs.update(list_to_dict(argnames, argList[1:]))
    serverInfo = DBServerInfo(**kwargs)
    return name,serverInfo.cursor(),serverInfo

def mysql_connect(connect=None, configFile=None, useStreaming=False, **args):
    """return connection and cursor objects, using .my.cnf if necessary"""
    kwargs = args.copy() # a copy we can modify
    if 'user' not in kwargs and configFile is None: #Find where config file is
        osname = platform.system()
        if osname in('Microsoft', 'Windows'): # Machine is a Windows box
            paths = []
            try: # handle case where WINDIR not defined by Windows...
                windir = os.environ['WINDIR']
                paths += [(windir, 'my.ini'), (windir, 'my.cnf')]
            except KeyError:
                pass
            try:
                sysdrv = os.environ['SYSTEMDRIVE']
                paths += [(sysdrv, os.path.sep + 'my.ini'),
                          (sysdrv, os.path.sep + 'my.cnf')]
            except KeyError:
                pass
            if len(paths) > 0:
                configFile = get_valid_path(*paths)
        else: # treat as normal platform with home directories
            configFile = os.path.join(os.path.expanduser('~'), '.my.cnf')

    # allows for a local mysql local configuration file to be read 
    # from the current directory
    configFile = configFile or os.path.join( os.getcwd(), 'mysql.cnf' )

    if configFile and os.path.exists(configFile):
        kwargs['read_default_file'] = configFile
        connect = None # force it to use MySQLdb
    if connect is None:
        import MySQLdb
        connect = MySQLdb.connect
        kwargs['compress'] = True
    if useStreaming:  # use server side cursors for scalable result sets
        try:
            from MySQLdb import cursors
            kwargs['cursorclass'] = cursors.SSCursor
        except (ImportError, AttributeError):
            pass
    conn = connect(**kwargs)
    cursor = conn.cursor()
    return conn,cursor

_mysqlMacros = dict(IGNORE='ignore', REPLACE='replace',
                    AUTO_INCREMENT='AUTO_INCREMENT', SUBSTRING='substring',
                    SUBSTR_FROM='FROM', SUBSTR_FOR='FOR')

def mysql_table_schema(self, analyzeSchema=True):
    'retrieve table schema from a MySQL database, save on self'
    import MySQLdb
    self._format_query = SQLFormatDict(MySQLdb.paramstyle, _mysqlMacros)
    if not analyzeSchema:
        return
    self.clear_schema() # reset settings and dictionaries
    self.cursor.execute('describe %s' % self.name) # get info about columns
    columns = self.cursor.fetchall()
    self.cursor.execute('select * from %s limit 1' % self.name) # descriptions
    for icol,c in enumerate(columns):
        field = c[0]
        self.columnName.append(field) # list of columns in same order as table
        if c[3] == "PRI": # record as primary key
            if self.primary_key is None:
                self.primary_key = field
            else:
                try:
                    self.primary_key.append(field)
                except AttributeError:
                    self.primary_key = [self.primary_key,field]
            if c[1][:3].lower() == 'int':
                self.usesIntID = True
            else:
                self.usesIntID = False
        elif c[3] == "MUL":
            self.indexed[field] = icol
        self.description[field] = self.cursor.description[icol]
        self.columnType[field] = c[1] # SQL COLUMN TYPE

_sqliteMacros = dict(IGNORE='or ignore', REPLACE='insert or replace',
                     AUTO_INCREMENT='', SUBSTRING='substr',
                    SUBSTR_FROM=',', SUBSTR_FOR=',')

def import_sqlite():
    'import sqlite3 (for Python 2.5+) or pysqlite2 for earlier Python versions'
    try:
        import sqlite3 as sqlite
    except ImportError:
        from pysqlite2 import dbapi2 as sqlite
    return sqlite

def sqlite_table_schema(self, analyzeSchema=True):
    'retrieve table schema from a sqlite3 database, save on self'
    sqlite = import_sqlite()
    self._format_query = SQLFormatDict(sqlite.paramstyle, _sqliteMacros)
    if not analyzeSchema:
        return
    self.clear_schema() # reset settings and dictionaries
    self.cursor.execute('PRAGMA table_info("%s")' % self.name)
    columns = self.cursor.fetchall()
    self.cursor.execute('select * from %s limit 1' % self.name) # descriptions
    for icol,c in enumerate(columns):
        field = c[1]
        self.columnName.append(field) # list of columns in same order as table
        self.description[field] = self.cursor.description[icol]
        self.columnType[field] = c[2] # SQL COLUMN TYPE
    self.cursor.execute('select name from sqlite_master where tbl_name="%s" and type="index" and sql is null' % self.name) # get primary key / unique indexes
    for indexname in self.cursor.fetchall(): # search indexes for primary key
        self.cursor.execute('PRAGMA index_info("%s")' % indexname)
        l = self.cursor.fetchall() # get list of columns in this index
        if len(l) == 1: # assume 1st single-column unique index is primary key!
            self.primary_key = l[0][2]
            break # done searching for primary key!
    if self.primary_key is None: # grrr, INTEGER PRIMARY KEY handled differently
        self.cursor.execute('select sql from sqlite_master where tbl_name="%s" and type="table"' % self.name)
        sql = self.cursor.fetchall()[0][0]
        for columnSQL in sql[sql.index('(') + 1 :].split(','):
            if 'primary key' in columnSQL.lower(): # must be the primary key!
                col = columnSQL.split()[0] # get column name
                if col in self.columnType:
                    self.primary_key = col
                    break # done searching for primary key!
                else:
                    raise ValueError('unknown primary key %s in table %s'
                                     % (col,self.name))
    if self.primary_key is not None: # check its type
        if self.columnType[self.primary_key] == 'int' or \
               self.columnType[self.primary_key] == 'integer':
            self.usesIntID = True
        else:
            self.usesIntID = False

class SQLFormatDict(object):
    '''Perform SQL keyword replacements for maintaining compatibility across
    a wide range of SQL backends.  Uses Python dict-based string format
    function to do simple string replacements, and also to convert
    params list to the paramstyle required for this interface.
    Create by passing a dict of macros and the db-api paramstyle:
    sfd = SQLFormatDict("qmark", substitutionDict)

    Then transform queries+params as follows; input should be "format" style:
    sql,params = sfd("select * from foo where id=%s and val=%s", (myID,myVal))
    cursor.execute(sql, params)
    '''
    _paramFormats = dict(pyformat='%%(%d)s', numeric=':%d', named=':%d',
                         qmark='(ignore)', format='(ignore)')
    def __init__(self, paramstyle, substitutionDict={}):
        self.substitutionDict = substitutionDict.copy()
        self.paramstyle = paramstyle
        self.paramFormat = self._paramFormats[paramstyle]
        self.makeDict = (paramstyle == 'pyformat' or paramstyle == 'named')
        if paramstyle == 'qmark': # handle these as simple substitution
            self.substitutionDict['?'] = '?'
        elif paramstyle == 'format':
            self.substitutionDict['?'] = '%s'
    def __getitem__(self, k):
        'apply correct substitution for this SQL interface'
        try:
            return self.substitutionDict[k] # apply our substitutions
        except KeyError:
            pass
        if k == '?': # sequential parameter
            s = self.paramFormat % self.iparam
            self.iparam += 1 # advance to the next parameter
            return s
        raise KeyError('unknown macro: %s' % k)
    def __call__(self, sql, paramList):
        'returns corrected sql,params for this interface'
        self.iparam = 1 # DB-ABI param indexing begins at 1
        sql = sql.replace('%s', '%(?)s') # convert format into pyformat
        s = sql % self # apply all %(x)s replacements in sql
        if self.makeDict: # construct a params dict
            paramDict = {}
            for i,param in enumerate(paramList):
                paramDict[str(i + 1)] = param #DB-ABI param indexing begins at 1
            return s,paramDict
        else: # just return the original params list
            return s,paramList

def get_table_schema(self, analyzeSchema=True):
    'run the right schema function based on type of db server connection'
    try:
        modname = self.cursor.__class__.__module__
    except AttributeError:
        raise ValueError('no cursor object or module information!')
    try:
        schema_func = self._schemaModuleDict[modname]
    except KeyError:
        raise KeyError('''unknown db module: %s. Use _schemaModuleDict
        attribute to supply a method for obtaining table schema
        for this module''' % modname)
    schema_func(self, analyzeSchema) # run the schema function


_schemaModuleDict = {'MySQLdb.cursors':mysql_table_schema,
                     'pysqlite2.dbapi2':sqlite_table_schema,
                     'sqlite3':sqlite_table_schema}

class SQLTableBase(object, UserDict.DictMixin):
    "Store information about an SQL table as dict keyed by primary key"
    _schemaModuleDict = _schemaModuleDict # default module list
    get_table_schema = get_table_schema
    def __init__(self,name,cursor=None,itemClass=None,attrAlias=None,
                 clusterKey=None,createTable=None,graph=None,maxCache=None,
                 arraysize=1024, itemSliceClass=None, dropIfExists=False,
                 serverInfo=None, autoGC=True, orderBy=None,
                 writeable=False, **kwargs):
        if autoGC: # automatically garbage collect unused objects
            self._weakValueDict = RecentValueDictionary(autoGC) # object cache
        else:
            self._weakValueDict = {}
        self.autoGC = autoGC
        self.orderBy = orderBy
        self.writeable = writeable
        if cursor is None:
            if serverInfo is not None: # get cursor from serverInfo
                cursor = serverInfo.cursor()
            else: # try to read connection info from name or config file
                name,cursor,serverInfo = get_name_cursor(name,**kwargs)
        else:
            warnings.warn("""The cursor argument is deprecated.  Use serverInfo instead! """,
                          DeprecationWarning, stacklevel=2)
        self.cursor = cursor
        if createTable is not None: # RUN COMMAND TO CREATE THIS TABLE
            if dropIfExists: # get rid of any existing table
                cursor.execute('drop table if exists ' + name)
            self.get_table_schema(False) # check dbtype, init _format_query
            sql,params = self._format_query(createTable, ()) # apply macros
            cursor.execute(sql) # create the table
        self.name = name
        if graph is not None:
            self.graph = graph
        if maxCache is not None:
            self.maxCache = maxCache
        if arraysize is not None:
            self.arraysize = arraysize
            cursor.arraysize = arraysize
        self.get_table_schema() # get schema of columns to serve as attrs
        self.data = {} # map of all attributes, including aliases
        for icol,field in enumerate(self.columnName):
            self.data[field] = icol # 1st add mappings to columns
        try:
            self.data['id']=self.data[self.primary_key]
        except (KeyError,TypeError):
            pass
        if hasattr(self,'_attr_alias'): # apply attribute aliases for this class
            self.addAttrAlias(False,**self._attr_alias)
        self.objclass(itemClass) # NEED TO SUBCLASS OUR ITEM CLASS
        if itemSliceClass is not None:
            self.itemSliceClass = itemSliceClass
            get_bound_subclass(self, 'itemSliceClass', self.name) # need to subclass itemSliceClass
        if attrAlias is not None: # ADD ATTRIBUTE ALIASES
            self.attrAlias = attrAlias # RECORD FOR PICKLING PURPOSES
            self.data.update(attrAlias)
        if clusterKey is not None:
            self.clusterKey=clusterKey
        if serverInfo is not None:
            self.serverInfo = serverInfo

    def __len__(self):
        self._select(selectCols='count(*)')
        return self.cursor.fetchone()[0]
    def __hash__(self):
        return id(self)
    _pickleAttrs = dict(name=0, clusterKey=0, maxCache=0, arraysize=0,
                        attrAlias=0, serverInfo=0, autoGC=0, orderBy=0,
                        writeable=0)
    __getstate__ = standard_getstate
    def __setstate__(self,state):
        # default cursor provisioning by worldbase is deprecated!
        ## if 'serverInfo' not in state: # hmm, no address for db server?
        ##     try: # SEE IF WE CAN GET CURSOR DIRECTLY FROM RESOURCE DATABASE
        ##         from Data import getResource
        ##         state['cursor'] = getResource.getTableCursor(state['name'])
        ##     except ImportError:
        ##         pass # FAILED, SO TRY TO GET A CURSOR IN THE USUAL WAYS...
        self.__init__(**state)
    def __repr__(self):
        return '<SQL table '+self.name+'>'

    def clear_schema(self):
        'reset all schema information for this table'
        self.description={}
        self.columnName = []
        self.columnType = {}
        self.usesIntID = None
        self.primary_key = None
        self.indexed = {}
    def _attrSQL(self,attr,sqlColumn=False,columnNumber=False):
        "Translate python attribute name to appropriate SQL expression"
        try: # MAKE SURE THIS ATTRIBUTE CAN BE MAPPED TO DATABASE EXPRESSION
            field=self.data[attr]
        except KeyError:
            raise AttributeError('attribute %s not a valid column or alias in %s'
                                 % (attr,self.name))
        if sqlColumn: # ENSURE THAT THIS TRULY MAPS TO A COLUMN NAME IN THE DB
            try: # CHECK IF field IS COLUMN NUMBER
                return self.columnName[field] # RETURN SQL COLUMN NAME
            except TypeError:
                try: # CHECK IF field IS SQL COLUMN NAME
                    return self.columnName[self.data[field]] # THIS WILL JUST RETURN field...
                except (KeyError,TypeError):
                    raise AttributeError('attribute %s does not map to an SQL column in %s'
                                         % (attr,self.name))
        if columnNumber:
            try: # CHECK IF field IS A COLUMN NUMBER
                return field+0 # ONLY RETURN AN INTEGER
            except TypeError:
                try: # CHECK IF field IS ITSELF THE SQL COLUMN NAME
                    return self.data[field]+0 # ONLY RETURN AN INTEGER
                except (KeyError,TypeError):
                    raise ValueError('attribute %s does not map to a SQL column!' % attr)
        if isinstance(field,types.StringType):
            attr=field # USE ALIASED EXPRESSION FOR DATABASE SELECT INSTEAD OF attr
        elif attr=='id':
            attr=self.primary_key
        return attr
    def addAttrAlias(self,saveToPickle=True,**kwargs):
        """Add new attributes as aliases of existing attributes.
           They can be specified either as named args:
           t.addAttrAlias(newattr=oldattr)
           or by passing a dictionary kwargs whose keys are newattr
           and values are oldattr:
           t.addAttrAlias(**kwargs)
           saveToPickle=True forces these aliases to be saved if object is pickled.
        """
        if saveToPickle:
            self.attrAlias.update(kwargs)
        for key,val in kwargs.items():
            try: # 1st CHECK WHETHER val IS AN EXISTING COLUMN / ALIAS
                self.data[val]+0 # CHECK WHETHER val MAPS TO A COLUMN NUMBER
                raise KeyError # YES, val IS ACTUAL SQL COLUMN NAME, SO SAVE IT DIRECTLY
            except TypeError: # val IS ITSELF AN ALIAS
                self.data[key] = self.data[val] # SO MAP TO WHAT IT MAPS TO
            except KeyError: # TREAT AS ALIAS TO SQL EXPRESSION
                self.data[key] = val
    def objclass(self,oclass=None):
        "Create class representing a row in this table by subclassing oclass, adding data"
        if oclass is not None: # use this as our base itemClass
            self.itemClass = oclass
        if self.writeable:
            self.itemClass = self.itemClass._RWClass # use its writeable version
        oclass = get_bound_subclass(self, 'itemClass', self.name,
                                    subclassArgs=dict(db=self)) # bind itemClass
        if issubclass(oclass, TupleO):
            oclass._attrcol = self.data # BIND ATTRIBUTE LIST TO TUPLEO INTERFACE
        if hasattr(oclass,'_tableclass') and not isinstance(self,oclass._tableclass):
            self.__class__=oclass._tableclass # ROW CLASS CAN OVERRIDE OUR CURRENT TABLE CLASS
    def _select(self, whereClause='', params=(), selectCols='t1.*',
                cursor=None, orderBy='', limit=''):
        'execute the specified query but do not fetch'
        sql,params = self._format_query('select %s from %s t1 %s %s %s'
                            % (selectCols, self.name, whereClause, orderBy,
                               limit), params)
        if cursor is None:
            self.cursor.execute(sql, params)
        else:
            cursor.execute(sql, params)
    def select(self,whereClause,params=None,oclass=None,selectCols='t1.*'):
        "Generate the list of objects that satisfy the database SELECT"
        if oclass is None:
            oclass=self.itemClass
        self._select(whereClause,params,selectCols)
        l=self.cursor.fetchall()
        for t in l:
            yield self.cacheItem(t,oclass)
    def query(self,**kwargs):
        'query for intersection of all specified kwargs, returned as iterator'
        criteria = []
        params = []
        for k,v in kwargs.items(): # CONSTRUCT THE LIST OF WHERE CLAUSES
            if v is None: # CONVERT TO SQL NULL TEST
                criteria.append('%s IS NULL' % self._attrSQL(k))
            else: # TEST FOR EQUALITY
                criteria.append('%s=%%s' % self._attrSQL(k))
                params.append(v)
        return self.select('where '+' and '.join(criteria),params)
    def _update(self,row_id,col,val):
        'update a single field in the specified row to the specified value'
        sql,params = self._format_query('update %s set %s=%%s where %s=%%s'
                                        %(self.name,col,self.primary_key),
                                        (val,row_id))
        self.cursor.execute(sql, params)
    def getID(self,t):
        try:
            return t[self.data['id']] # GET ID FROM TUPLE
        except TypeError: # treat as alias
            return t[self.data[self.data['id']]]
    def cacheItem(self,t,oclass):
        'get obj from cache if possible, or construct from tuple'
        try:
            id=self.getID(t)
        except KeyError: # NO PRIMARY KEY?  IGNORE THE CACHE.
            return oclass(t)
        try: # IF ALREADY LOADED IN OUR DICTIONARY, JUST RETURN THAT ENTRY
            return self._weakValueDict[id]
        except KeyError:
            pass
        o = oclass(t)
        self._weakValueDict[id] = o   # CACHE THIS ITEM IN OUR DICTIONARY
        return o
    def cache_items(self,rows,oclass=None):
        if oclass is None:
            oclass=self.itemClass
        for t in rows:
            yield self.cacheItem(t,oclass) 
    def foreignKey(self,attr,k):
        'get iterator for objects with specified foreign key value'
        return self.select('where %s=%%s'%attr,(k,))
    def limit_cache(self):
        'APPLY maxCache LIMIT TO CACHE SIZE'
        try:
            if self.maxCache<len(self._weakValueDict):
                self._weakValueDict.clear()
        except AttributeError:
            pass

    def get_new_cursor(self):
        """Return a new cursor object, or None if not possible """
        try:
            new_cursor = self.serverInfo.new_cursor
        except AttributeError:
            return None
        return new_cursor(self.arraysize)
    
    def generic_iterator(self, cursor=None, fetch_f=None, cache_f=None,
                         map_f=iter):
        'generic iterator that runs fetch, cache and map functions'
        if fetch_f is None: # JUST USE CURSOR'S PREFERRED CHUNK SIZE
            if cursor is None:
                fetch_f = self.cursor.fetchmany
            else:  # isolate this iter from other queries
                fetch_f = cursor.fetchmany
        if cache_f is None:
            cache_f = self.cache_items
        while True:
            self.limit_cache()
            rows = fetch_f() # FETCH THE NEXT SET OF ROWS
            if len(rows)==0: # NO MORE DATA SO ALL DONE
                break
            for v in map_f(cache_f(rows)): # CACHE AND GENERATE RESULTS
                yield v
        if cursor is not None: # close iterator now that we're done
            cursor.close()
    def tuple_from_dict(self, d):
        'transform kwarg dict into tuple for storing in database'
        l = [None]*len(self.description) # DEFAULT COLUMN VALUES ARE NULL
        for col,icol in self.data.items():
            try:
                l[icol] = d[col]
            except (KeyError,TypeError):
                pass
        return l
    def tuple_from_obj(self, obj):
        'transform object attributes into tuple for storing in database'
        l = [None]*len(self.description) # DEFAULT COLUMN VALUES ARE NULL
        for col,icol in self.data.items():
            try:
                l[icol] = getattr(obj,col)
            except (AttributeError,TypeError):
                pass
        return l
    def _insert(self, l):
        '''insert tuple into the database.  Note this uses the MySQL
        extension REPLACE, which overwrites any duplicate key.'''
        s = '%(REPLACE)s into ' + self.name + ' values (' \
            + ','.join(['%s']*len(l)) + ')'
        sql,params = self._format_query(s, l)
        self.cursor.execute(sql, params)
    def insert(self, obj):
        '''insert new row by transforming obj to tuple of values'''
        l = self.tuple_from_obj(obj)
        self._insert(l)
    def get_insert_id(self):
        'get the primary key value for the last INSERT'
        try: # ATTEMPT TO GET ASSIGNED ID FROM DB
            auto_id = self.cursor.lastrowid
        except AttributeError: # CURSOR DOESN'T SUPPORT lastrowid
            raise NotImplementedError('''your db lacks lastrowid support?''')
        if auto_id is None:
            raise ValueError('lastrowid is None so cannot get ID from INSERT!')
        return auto_id
    def new(self, **kwargs):
        'return a new record with the assigned attributes, added to DB'
        if not self.writeable:
            raise ValueError('this database is read only!')
        obj = self.itemClass(None, newRow=True, **kwargs) # saves itself to db
        self._weakValueDict[obj.id] = obj # AND SAVE TO OUR LOCAL DICT CACHE
        return obj
    def clear_cache(self):
        'empty the cache'
        self._weakValueDict.clear()
    def __delitem__(self, k):
        if not self.writeable:
            raise ValueError('this database is read only!')
        sql,params = self._format_query('delete from %s where %s=%%s'
                                        % (self.name,self.primary_key),(k,))
        self.cursor.execute(sql, params)
        try:
            del self._weakValueDict[k]
        except KeyError:
            pass

def getKeys(self,queryOption='', selectCols=None):
    'uses db select; does not force load'
    if selectCols is None:
        selectCols=self.primary_key
    if queryOption=='' and self.orderBy is not None:
        queryOption = self.orderBy # apply default ordering
    self.cursor.execute('select %s from %s %s' 
                        %(selectCols,self.name,queryOption))
    return [t[0] for t in self.cursor.fetchall()] # GET ALL AT ONCE, SINCE OTHER CALLS MAY REUSE THIS CURSOR...

def iter_keys(self, selectCols=None, orderBy='', map_f=iter,
              cache_f=lambda x:[t[0] for t in x], get_f=None, **kwargs):
    'guarantee correct iteration insulated from other queries'
    if selectCols is None:
        selectCols=self.primary_key
    if orderBy=='' and self.orderBy is not None:
        orderBy = self.orderBy # apply default ordering
    cursor = self.get_new_cursor()
    if cursor: # got our own cursor, guaranteeing query isolation
        self._select(cursor=cursor, selectCols=selectCols, orderBy=orderBy,
                     **kwargs)
        return self.generic_iterator(cursor=cursor, cache_f=cache_f, map_f=map_f)
    else: # must pre-fetch all keys to ensure query isolation
        if get_f is not None:
            return iter(get_f())
        else:
            return iter(self.keys())

class SQLTable(SQLTableBase):
    "Provide on-the-fly access to rows in the database, caching the results in dict"
    itemClass = TupleO # our default itemClass; constructor can override
    keys=getKeys
    __iter__ = iter_keys
    def load(self,oclass=None):
        "Load all data from the table"
        try: # IF ALREADY LOADED, NO NEED TO DO ANYTHING
            return self._isLoaded
        except AttributeError:
            pass
        if oclass is None:
            oclass=self.itemClass
        self.cursor.execute('select * from %s' % self.name)
        l=self.cursor.fetchall()
        self._weakValueDict = {} # just store the whole dataset in memory
        for t in l:
            self.cacheItem(t,oclass) # CACHE IT IN LOCAL DICTIONARY
        self._isLoaded=True # MARK THIS CONTAINER AS FULLY LOADED

    def __getitem__(self,k): # FIRST TRY LOCAL INDEX, THEN TRY DATABASE
        try:
            return self._weakValueDict[k] # DIRECTLY RETURN CACHED VALUE
        except KeyError: # NOT FOUND, SO TRY THE DATABASE
            sql,params = self._format_query('select * from %s where %s=%%s limit 2'
                                            % (self.name,self.primary_key),(k,))
            self.cursor.execute(sql, params)
            l = self.cursor.fetchmany(2) # get at most 2 rows
            if len(l) != 1:
                raise KeyError('%s not found in %s, or not unique' %(str(k),self.name))
            self.limit_cache()
            return self.cacheItem(l[0],self.itemClass) # CACHE IT IN LOCAL DICTIONARY
    def __setitem__(self, k, v):
        if not self.writeable:
            raise ValueError('this database is read only!')
        try:
            if v.db != self:
                raise AttributeError
        except AttributeError:
            raise ValueError('object not bound to itemClass for this db!')
        try:
            oldID = v.id
            if oldID is None:
                raise AttributeError
        except AttributeError:
            pass
        else: # delete row with old ID
            del self[v.id]
        v.cache_id(k) # cache the new ID on the object
        self.insert(v) # SAVE TO THE RELATIONAL DB SERVER
        self._weakValueDict[k] = v   # CACHE THIS ITEM IN OUR DICTIONARY
    def items(self):
        'forces load of entire table into memory'
        self.load()
        return [(k,self[k]) for k in self] # apply orderBy rules...
    def iteritems(self):
        'uses arraysize / maxCache and fetchmany() to manage data transfer'
        return iter_keys(self, selectCols='*', cache_f=None,
                         map_f=generate_items, get_f=self.items)
    def values(self):
        'forces load of entire table into memory'
        self.load()
        return [self[k] for k in self] # apply orderBy rules...
    def itervalues(self):
        'uses arraysize / maxCache and fetchmany() to manage data transfer'
        return iter_keys(self, selectCols='*', cache_f=None, get_f=self.values)

def getClusterKeys(self,queryOption=''):
    'uses db select; does not force load'
    self.cursor.execute('select distinct %s from %s %s'
                        %(self.clusterKey,self.name,queryOption))
    return [t[0] for t in self.cursor.fetchall()] # GET ALL AT ONCE, SINCE OTHER CALLS MAY REUSE THIS CURSOR...


class SQLTableClustered(SQLTable):
    '''use clusterKey to load a whole cluster of rows at once,
       specifically, all rows that share the same clusterKey value.'''
    def __init__(self, *args, **kwargs):
        kwargs = kwargs.copy() # get a copy we can alter
        kwargs['autoGC'] = False # don't use WeakValueDictionary
        SQLTable.__init__(self, *args, **kwargs)
    def keys(self):
        return getKeys(self,'order by %s' %self.clusterKey)
    def clusterkeys(self):
        return getClusterKeys(self, 'order by %s' %self.clusterKey)
    def __getitem__(self,k):
        try:
            return self._weakValueDict[k] # DIRECTLY RETURN CACHED VALUE
        except KeyError: # NOT FOUND, SO TRY THE DATABASE
            sql,params = self._format_query('select t2.* from %s t1,%s t2 where t1.%s=%%s and t1.%s=t2.%s'
                                % (self.name,self.name,self.primary_key,
                                   self.clusterKey,self.clusterKey),(k,))
            self.cursor.execute(sql, params)
            l=self.cursor.fetchall()
            self.limit_cache()
            for t in l: # LOAD THE ENTIRE CLUSTER INTO OUR LOCAL CACHE
                self.cacheItem(t,self.itemClass)
            return self._weakValueDict[k] # should be in cache, if row k exists
    def itercluster(self,cluster_id):
        'iterate over all items from the specified cluster'
        self.limit_cache()
        return self.select('where %s=%%s'%self.clusterKey,(cluster_id,))
    def fetch_cluster(self):
        'use self.cursor.fetchmany to obtain all rows for next cluster'
        icol = self._attrSQL(self.clusterKey,columnNumber=True)
        result = []
        try:
            rows = self._fetch_cluster_cache # USE SAVED ROWS FROM PREVIOUS CALL
            del self._fetch_cluster_cache
        except AttributeError:
            rows = self.cursor.fetchmany()
        try:
            cluster_id = rows[0][icol]
        except IndexError:
            return result
        while len(rows)>0:
            for i,t in enumerate(rows): # CHECK THAT ALL ROWS FROM THIS CLUSTER
                if cluster_id != t[icol]: # START OF A NEW CLUSTER
                    result += rows[:i] # RETURN ROWS OF CURRENT CLUSTER
                    self._fetch_cluster_cache = rows[i:] # SAVE NEXT CLUSTER
                    return result
            result += rows
            rows = self.cursor.fetchmany() # GET NEXT SET OF ROWS
        return result
    def itervalues(self):
        'uses arraysize / maxCache and fetchmany() to manage data transfer'
        cursor = self.get_new_cursor()
        self._select('order by %s' %self.clusterKey, cursor=cursor)
        return self.generic_iterator(cursor, self.fetch_cluster)
    def iteritems(self):
        'uses arraysize / maxCache and fetchmany() to manage data transfer'
        cursor = self.get_new_cursor()
        self._select('order by %s' %self.clusterKey, cursor=cursor)
        return self.generic_iterator(cursor, self.fetch_cluster,
                                     map_f=generate_items)
        
class SQLForeignRelation(object):
    'mapping based on matching a foreign key in an SQL table'
    def __init__(self,table,keyName):
        self.table=table
        self.keyName=keyName
    def __getitem__(self,k):
        'get list of objects o with getattr(o,keyName)==k.id'
        l=[]
        for o in self.table.select('where %s=%%s'%self.keyName,(k.id,)):
            l.append(o)
        if len(l)==0:
            raise KeyError('%s not found in %s' %(str(k),self.name))
        return l


class SQLTableNoCache(SQLTableBase):
    '''Provide on-the-fly access to rows in the database;
    values are simply an object interface (SQLRow) to back-end db query.
    Row data are not stored locally, but always accessed by querying the db'''
    itemClass=SQLRow # DEFAULT OBJECT CLASS FOR ROWS...
    keys=getKeys
    __iter__ = iter_keys
    def getID(self,t): return t[0] # GET ID FROM TUPLE
    def select(self,whereClause,params):
        return SQLTableBase.select(self,whereClause,params,self.oclass,
                                   self._attrSQL('id'))
    def __getitem__(self,k): # FIRST TRY LOCAL INDEX, THEN TRY DATABASE
        try:
            return self._weakValueDict[k] # DIRECTLY RETURN CACHED VALUE
        except KeyError: # NOT FOUND, SO TRY THE DATABASE
            self._select('where %s=%%s' % self.primary_key, (k,),
                         self.primary_key)
            t = self.cursor.fetchmany(2)
            if len(t) != 1:
                raise KeyError('id %s non-existent or not unique' % k)
            o = self.itemClass(k) # create obj referencing this ID
            self._weakValueDict[k] = o # cache the SQLRow object
            return o
    def __setitem__(self, k, v):
        if not self.writeable:
            raise ValueError('this database is read only!')
        try:
            if v.db != self:
                raise AttributeError
        except AttributeError:
            raise ValueError('object not bound to itemClass for this db!')
        try:
            del self[k] # delete row with new ID if any
        except KeyError:
            pass
        try:
            del self._weakValueDict[v.id] # delete from old cache location
        except KeyError:
            pass
        self._update(v.id, self.primary_key, k) # just change its ID in db
        v.cache_id(k) # change the cached ID value
        self._weakValueDict[k] = v # assign to new cache location
    def addAttrAlias(self,**kwargs):
        self.data.update(kwargs) # ALIAS KEYS TO EXPRESSION VALUES

SQLRow._tableclass=SQLTableNoCache  # SQLRow IS FOR NON-CACHING TABLE INTERFACE


class SQLTableMultiNoCache(SQLTableBase):
    "Trivial on-the-fly access for table with key that returns multiple rows"
    itemClass = TupleO # default itemClass; constructor can override
    _distinct_key='id' # DEFAULT COLUMN TO USE AS KEY
    def keys(self):
        return getKeys(self, selectCols='distinct(%s)'
                       % self._attrSQL(self._distinct_key))
    def __iter__(self):
        return iter_keys(self, 'distinct(%s)' % self._attrSQL(self._distinct_key))
    def __getitem__(self,id):
        sql,params = self._format_query('select * from %s where %s=%%s'
                           %(self.name,self._attrSQL(self._distinct_key)),(id,))
        self.cursor.execute(sql, params)
        l=self.cursor.fetchall() # PREFETCH ALL ROWS, SINCE CURSOR MAY BE REUSED
        for row in l:
            yield self.itemClass(row)
    def addAttrAlias(self,**kwargs):
        self.data.update(kwargs) # ALIAS KEYS TO EXPRESSION VALUES



class SQLEdges(SQLTableMultiNoCache):
    '''provide iterator over edges as (source,target,edge)
       and getitem[edge] --> [(source,target),...]'''
    _distinct_key='edge_id'
    _pickleAttrs = SQLTableMultiNoCache._pickleAttrs.copy()
    _pickleAttrs.update(dict(graph=0))
    def keys(self):
        self.cursor.execute('select %s,%s,%s from %s where %s is not null order by %s,%s'
                            %(self._attrSQL('source_id'),self._attrSQL('target_id'),
                              self._attrSQL('edge_id'),self.name,
                              self._attrSQL('target_id'),self._attrSQL('source_id'),
                              self._attrSQL('target_id')))
        l = [] # PREFETCH ALL ROWS, SINCE CURSOR MAY BE REUSED
        for source_id,target_id,edge_id in self.cursor.fetchall():
            l.append((self.graph.unpack_source(source_id),
                      self.graph.unpack_target(target_id),
                      self.graph.unpack_edge(edge_id)))
        return l
    __call__=keys
    def __iter__(self):
        return iter(self.keys())
    def __getitem__(self,edge):
        sql,params = self._format_query('select %s,%s from %s where %s=%%s'
                                        %(self._attrSQL('source_id'),
                                          self._attrSQL('target_id'),
                                          self.name,
                                          self._attrSQL(self._distinct_key)),
                                        (self.graph.pack_edge(edge),))
        self.cursor.execute(sql, params)
        l = [] # PREFETCH ALL ROWS, SINCE CURSOR MAY BE REUSED
        for source_id,target_id in self.cursor.fetchall():
            l.append((self.graph.unpack_source(source_id),
                      self.graph.unpack_target(target_id)))
        return l


class SQLEdgeDict(object):
    '2nd level graph interface to SQL database'
    def __init__(self,fromNode,table):
        self.fromNode=fromNode
        self.table=table
        if not hasattr(self.table,'allowMissingNodes'):
            sql,params = self.table._format_query('select %s from %s where %s=%%s limit 1'
                                                  %(self.table.sourceSQL,
                                                    self.table.name,
                                                    self.table.sourceSQL),
                                                  (self.fromNode,))
            self.table.cursor.execute(sql, params)
            if len(self.table.cursor.fetchall())<1:
                raise KeyError('node not in graph!')

    def __getitem__(self,target):
        sql,params = self.table._format_query('select %s from %s where %s=%%s and %s=%%s limit 2'
                                              %(self.table.edgeSQL,
                                                self.table.name,
                                                self.table.sourceSQL,
                                                self.table.targetSQL),
                                              (self.fromNode,
                                               self.table.pack_target(target)))
        self.table.cursor.execute(sql, params)
        l = self.table.cursor.fetchmany(2) # get at most two rows
        if len(l) != 1:
            raise KeyError('either no edge from source to target or not unique!')
        try:
            return self.table.unpack_edge(l[0][0]) # RETURN EDGE
        except IndexError:
            raise KeyError('no edge from node to target')
    def __setitem__(self,target,edge):
        sql,params = self.table._format_query('replace into %s values (%%s,%%s,%%s)'
                                              %self.table.name,
                                              (self.fromNode,
                                               self.table.pack_target(target),
                                               self.table.pack_edge(edge)))
        self.table.cursor.execute(sql, params)
        if not hasattr(self.table,'sourceDB') or \
           (hasattr(self.table,'targetDB') and self.table.sourceDB==self.table.targetDB):
            self.table += target # ADD AS NODE TO GRAPH
    def __iadd__(self,target):
        self[target] = None
        return self # iadd MUST RETURN self!
    def __delitem__(self,target):
        sql,params = self.table._format_query('delete from %s where %s=%%s and %s=%%s'
                                              %(self.table.name,
                                                self.table.sourceSQL,
                                                self.table.targetSQL),
                                              (self.fromNode,
                                               self.table.pack_target(target)))
        self.table.cursor.execute(sql, params) 
        if self.table.cursor.rowcount < 1: # no rows deleted?
            raise KeyError('no edge from node to target')
        
    def iterator_query(self):
        sql,params = self.table._format_query('select %s,%s from %s where %s=%%s and %s is not null'
                                              %(self.table.targetSQL,
                                                self.table.edgeSQL,
                                                self.table.name,
                                                self.table.sourceSQL,
                                                self.table.targetSQL),
                                              (self.fromNode,))
        self.table.cursor.execute(sql, params)
        return self.table.cursor.fetchall()
    def keys(self):
        return [self.table.unpack_target(target_id)
                for target_id,edge_id in self.iterator_query()]
    def values(self):
        return [self.table.unpack_edge(edge_id)
                for target_id,edge_id in self.iterator_query()]
    def edges(self):
        return [(self.table.unpack_source(self.fromNode),self.table.unpack_target(target_id),
                 self.table.unpack_edge(edge_id))
                for target_id,edge_id in self.iterator_query()]
    def items(self):
        return [(self.table.unpack_target(target_id),self.table.unpack_edge(edge_id))
                for target_id,edge_id in self.iterator_query()]
    def __iter__(self): return iter(self.keys())
    def itervalues(self): return iter(self.values())
    def iteritems(self): return iter(self.items())
    def __len__(self):
        return len(self.keys())
    __cmp__ = graph_cmp

class SQLEdgelessDict(SQLEdgeDict):
    'for SQLGraph tables that lack edge_id column'
    def __getitem__(self,target):
        sql,params = self.table._format_query('select %s from %s where %s=%%s and %s=%%s limit 2'
                                              %(self.table.targetSQL,
                                                self.table.name,
                                                self.table.sourceSQL,
                                                self.table.targetSQL),
                                              (self.fromNode,
                                               self.table.pack_target(target)))
        self.table.cursor.execute(sql, params)
        l = self.table.cursor.fetchmany(2)
        if len(l) != 1:
            raise KeyError('either no edge from source to target or not unique!')
        return None # no edge info!
    def iterator_query(self):
        sql,params = self.table._format_query('select %s from %s where %s=%%s and %s is not null'
                                              %(self.table.targetSQL,
                                                self.table.name,
                                                self.table.sourceSQL,
                                                self.table.targetSQL),
                                              (self.fromNode,))
        self.table.cursor.execute(sql, params)
        return [(t[0],None) for t in self.table.cursor.fetchall()]

SQLEdgeDict._edgelessClass = SQLEdgelessDict

class SQLGraphEdgeDescriptor(object):
    'provide an SQLEdges interface on demand'
    def __get__(self,obj,objtype):
        try:
            attrAlias=obj.attrAlias.copy()
        except AttributeError:
            return SQLEdges(obj.name, obj.cursor, graph=obj)
        else:
            return SQLEdges(obj.name, obj.cursor, attrAlias=attrAlias,
                            graph=obj)

def getColumnTypes(createTable,attrAlias={},defaultColumnType='int',
                  columnAttrs=('source','target','edge'),**kwargs):
    'return list of [(colname,coltype),...] for source,target,edge'
    l = []
    for attr in columnAttrs:
        try:
            attrName = attrAlias[attr+'_id']
        except KeyError:
            attrName = attr+'_id'
        try: # SEE IF USER SPECIFIED A DESIRED TYPE
            l.append((attrName,createTable[attr+'_id']))
            continue
        except (KeyError,TypeError):
            pass
        try: # get type info from primary key for that database
            db = kwargs[attr+'DB']
            if db is None:
                raise KeyError # FORCE IT TO USE DEFAULT TYPE
        except KeyError:
            pass
        else: # INFER THE COLUMN TYPE FROM THE ASSOCIATED DATABASE KEYS...
            it = iter(db)
            try: # GET ONE IDENTIFIER FROM THE DATABASE
                k = it.next()
            except StopIteration: # TABLE IS EMPTY, SO READ SQL TYPE FROM db OBJECT
                try:
                    l.append((attrName,db.columnType[db.primary_key]))
                    continue
                except AttributeError:
                    pass
            else: # GET THE TYPE FROM THIS IDENTIFIER
                if isinstance(k,int) or isinstance(k,long):
                    l.append((attrName,'int'))
                    continue
                elif isinstance(k,str):
                    l.append((attrName,'varchar(32)'))
                    continue
                else:
                    raise ValueError('SQLGraph node / edge must be int or str!')
        l.append((attrName,defaultColumnType))
        logger.warn('no type info found for %s, so using default: %s'
                    % (attrName, defaultColumnType))


    return l


class SQLGraph(SQLTableMultiNoCache):
    '''provide a graph interface via a SQL table.  Key capabilities are:
       - setitem with an empty dictionary: a dummy operation
       - getitem with a key that exists: return a placeholder
       - setitem with non empty placeholder: again a dummy operation
       EXAMPLE TABLE SCHEMA:
       create table mygraph (source_id int not null,target_id int,edge_id int,
              unique(source_id,target_id));
       '''
    _distinct_key='source_id'
    _pickleAttrs = SQLTableMultiNoCache._pickleAttrs.copy()
    _pickleAttrs.update(dict(sourceDB=0,targetDB=0,edgeDB=0,allowMissingNodes=0))
    _edgeClass = SQLEdgeDict
    def __init__(self,name,*l,**kwargs):
        graphArgs,tableArgs = split_kwargs(kwargs,
                    ('attrAlias','defaultColumnType','columnAttrs',
                     'sourceDB','targetDB','edgeDB','simpleKeys','unpack_edge',
                     'edgeDictClass','graph'))
        if 'createTable' in kwargs: # CREATE A SCHEMA FOR THIS TABLE
            c = getColumnTypes(**kwargs)
            tableArgs['createTable'] = \
              'create table %s (%s %s not null,%s %s,%s %s,unique(%s,%s))' \
              % (name,c[0][0],c[0][1],c[1][0],c[1][1],c[2][0],c[2][1],c[0][0],c[1][0])
        try:
            self.allowMissingNodes = kwargs['allowMissingNodes']
        except KeyError: pass
        SQLTableMultiNoCache.__init__(self,name,*l,**tableArgs)
        self.sourceSQL = self._attrSQL('source_id')
        self.targetSQL = self._attrSQL('target_id')
        try:
            self.edgeSQL = self._attrSQL('edge_id')
        except AttributeError:
            self.edgeSQL = None
            self._edgeClass = self._edgeClass._edgelessClass
        save_graph_db_refs(self,**kwargs)
    def __getitem__(self,k):
        return self._edgeClass(self.pack_source(k),self)
    def __iadd__(self,k):
        sql,params = self._format_query('delete from %s where %s=%%s and %s is null'
                            % (self.name,self.sourceSQL,self.targetSQL),
                            (self.pack_source(k),))
        self.cursor.execute(sql, params)
        sql,params = self._format_query('insert %%(IGNORE)s into %s values (%%s,NULL,NULL)'
                                        % self.name,(self.pack_source(k),))
        self.cursor.execute(sql, params)
        return self # iadd MUST RETURN SELF!
    def __isub__(self,k):
        sql,params = self._format_query('delete from %s where %s=%%s'
                                        % (self.name,self.sourceSQL),
                                        (self.pack_source(k),))
        self.cursor.execute(sql, params)
        if self.cursor.rowcount == 0:
            raise KeyError('node not found in graph')
        return self # iadd MUST RETURN SELF!
    __setitem__ = graph_setitem
    def __contains__(self,k):
        sql,params = self._format_query('select * from %s where %s=%%s limit 1'
                                        %(self.name,self.sourceSQL),
                                        (self.pack_source(k),))
        self.cursor.execute(sql, params)
        l = self.cursor.fetchmany(2) 
        return len(l) > 0
    def __invert__(self):
        'get an interface to the inverse graph mapping'
        try: # CACHED
            return self._inverse
        except AttributeError: # CONSTRUCT INTERFACE TO INVERSE MAPPING
            attrAlias = dict(source_id=self.targetSQL, # SWAP SOURCE & TARGET
                             target_id=self.sourceSQL,
                             edge_id=self.edgeSQL)
            if self.edgeSQL is None: # no edge interface
                del attrAlias['edge_id']
            self._inverse=SQLGraph(self.name,self.cursor,
                                   attrAlias=attrAlias,
                                   **graph_db_inverse_refs(self))
            self._inverse._inverse=self
            return self._inverse
    def __iter__(self):
        for k in SQLTableMultiNoCache.__iter__(self):
            yield self.unpack_source(k)
    def iteritems(self):
        for k in SQLTableMultiNoCache.__iter__(self):
            yield (self.unpack_source(k), self._edgeClass(k, self))
    def itervalues(self):
        for k in SQLTableMultiNoCache.__iter__(self):
            yield self._edgeClass(k, self)
    def keys(self):
        return [self.unpack_source(k) for k in SQLTableMultiNoCache.keys(self)]
    def values(self): return list(self.itervalues())
    def items(self): return list(self.iteritems())
    edges=SQLGraphEdgeDescriptor()
    update = update_graph
    def __len__(self):
        'get number of source nodes in graph'
        self.cursor.execute('select count(distinct %s) from %s'
                            %(self.sourceSQL,self.name))
        return self.cursor.fetchone()[0]
    __cmp__ = graph_cmp
    override_rich_cmp(locals()) # MUST OVERRIDE __eq__ ETC. TO USE OUR __cmp__!
##     def __cmp__(self,other):
##         node = ()
##         n = 0
##         d = None
##         it = iter(self.edges)
##         while True:
##             try:
##                 source,target,edge = it.next()
##             except StopIteration:
##                 source = None
##             if source!=node:
##                 if d is not None:
##                     diff = cmp(n_target,len(d))
##                     if diff!=0:
##                         return diff
##                 if source is None:
##                     break
##                 node = source
##                 n += 1 # COUNT SOURCE NODES
##                 n_target = 0
##                 try:
##                     d = other[node]
##                 except KeyError:
##                     return 1
##             try:
##                 diff = cmp(edge,d[target])
##             except KeyError:
##                 return 1
##             if diff!=0:
##                 return diff
##             n_target += 1 # COUNT TARGET NODES FOR THIS SOURCE
##         return cmp(n,len(other))
            
    add_standard_packing_methods(locals())  ############ PACK / UNPACK METHODS

class SQLIDGraph(SQLGraph):
    add_trivial_packing_methods(locals())
SQLGraph._IDGraphClass = SQLIDGraph



class SQLEdgeDictClustered(dict):
    'simple cache for 2nd level dictionary of target_id:edge_id'
    def __init__(self,g,fromNode):
        self.g=g
        self.fromNode=fromNode
        dict.__init__(self)
    def __iadd__(self,l):
        for target_id,edge_id in l:
            dict.__setitem__(self,target_id,edge_id)
        return self # iadd MUST RETURN SELF!

class SQLEdgesClusteredDescr(object):
    def __get__(self,obj,objtype):
        e=SQLEdgesClustered(obj.table,obj.edge_id,obj.source_id,obj.target_id,
                            graph=obj,**graph_db_inverse_refs(obj,True))
        for source_id,d in obj.d.iteritems(): # COPY EDGE CACHE
            e.load([(edge_id,source_id,target_id)
                    for (target_id,edge_id) in d.iteritems()])
        return e

class SQLGraphClustered(object):
    'SQL graph with clustered caching -- loads an entire cluster at a time'
    _edgeDictClass=SQLEdgeDictClustered
    def __init__(self,table,source_id='source_id',target_id='target_id',
                 edge_id='edge_id',clusterKey=None,**kwargs):
        import types
        if isinstance(table,types.StringType): # CREATE THE TABLE INTERFACE
            if clusterKey is None:
                raise ValueError('you must provide a clusterKey argument!')
            if 'createTable' in kwargs: # CREATE A SCHEMA FOR THIS TABLE
                c = getColumnTypes(attrAlias=dict(source_id=source_id,target_id=target_id,
                                                  edge_id=edge_id),**kwargs)
                kwargs['createTable'] = \
                  'create table %s (%s %s not null,%s %s,%s %s,unique(%s,%s))' \
                  % (table,c[0][0],c[0][1],c[1][0],c[1][1],
                     c[2][0],c[2][1],c[0][0],c[1][0])
            table = SQLTableClustered(table,clusterKey=clusterKey,**kwargs)
        self.table=table
        self.source_id=source_id
        self.target_id=target_id
        self.edge_id=edge_id
        self.d={}
        save_graph_db_refs(self,**kwargs)
    _pickleAttrs = dict(table=0,source_id=0,target_id=0,edge_id=0,sourceDB=0,targetDB=0,
                        edgeDB=0)
    def __getstate__(self):
        state = standard_getstate(self)
        state['d'] = {} # UNPICKLE SHOULD RESTORE GRAPH WITH EMPTY CACHE
        return state
    def __getitem__(self,k):
        'get edgeDict for source node k, from cache or by loading its cluster'
        try: # GET DIRECTLY FROM CACHE
            return self.d[k]
        except KeyError:
            if hasattr(self,'_isLoaded'):
                raise # ENTIRE GRAPH LOADED, SO k REALLY NOT IN THIS GRAPH
        # HAVE TO LOAD THE ENTIRE CLUSTER CONTAINING THIS NODE
        sql,params = self.table._format_query('select t2.%s,t2.%s,t2.%s from %s t1,%s t2 where t1.%s=%%s and t1.%s=t2.%s group by t2.%s'
                                  %(self.source_id,self.target_id,
                                    self.edge_id,self.table.name,
                                    self.table.name,self.source_id,
                                    self.table.clusterKey,self.table.clusterKey,
                                    self.table.primary_key),
                                  (self.pack_source(k),))
        self.table.cursor.execute(sql, params)
        self.load(self.table.cursor.fetchall()) # CACHE THIS CLUSTER
        return self.d[k] # RETURN EDGE DICT FOR THIS NODE
    def load(self,l=None,unpack=True):
        'load the specified rows (or all, if None provided) into local cache'
        if l is None:
            try: # IF ALREADY LOADED, NO NEED TO DO ANYTHING
                return self._isLoaded
            except AttributeError:
                pass
            self.table.cursor.execute('select %s,%s,%s from %s'
                                      %(self.source_id,self.target_id,
                                        self.edge_id,self.table.name))
            l=self.table.cursor.fetchall()
            self._isLoaded=True
            self.d.clear() # CLEAR OUR CACHE AS load() WILL REPLICATE EVERYTHING
        for source,target,edge in l: # SAVE TO OUR CACHE
            if unpack:
                source = self.unpack_source(source)
                target = self.unpack_target(target)
                edge = self.unpack_edge(edge)
            try:
                self.d[source] += [(target,edge)]
            except KeyError:
                d = self._edgeDictClass(self,source)
                d += [(target,edge)]
                self.d[source] = d
    def __invert__(self):
        'interface to reverse graph mapping'
        try:
            return self._inverse # INVERSE MAP ALREADY EXISTS
        except AttributeError:
            pass
        # JUST CREATE INTERFACE WITH SWAPPED TARGET & SOURCE
        self._inverse=SQLGraphClustered(self.table,self.target_id,self.source_id,
                                        self.edge_id,**graph_db_inverse_refs(self))
        self._inverse._inverse=self
        for source,d in self.d.iteritems(): # INVERT OUR CACHE
            self._inverse.load([(target,source,edge)
                                for (target,edge) in d.iteritems()],unpack=False)
        return self._inverse
    edges=SQLEdgesClusteredDescr() # CONSTRUCT EDGE INTERFACE ON DEMAND
    update = update_graph
    add_standard_packing_methods(locals())  ############ PACK / UNPACK METHODS
    def __iter__(self): ################# ITERATORS
        'uses db select; does not force load'
        return iter(self.keys())
    def keys(self):
        'uses db select; does not force load'
        self.table.cursor.execute('select distinct(%s) from %s'
                                  %(self.source_id,self.table.name))
        return [self.unpack_source(t[0])
                for t in self.table.cursor.fetchall()]
    methodFactory(['iteritems','items','itervalues','values'],
                  'lambda self:(self.load(),self.d.%s())[1]',locals())
    def __contains__(self,k):
        try:
            x=self[k]
            return True
        except KeyError:
            return False

class SQLIDGraphClustered(SQLGraphClustered):
    add_trivial_packing_methods(locals())
SQLGraphClustered._IDGraphClass = SQLIDGraphClustered

class SQLEdgesClustered(SQLGraphClustered):
    'edges interface for SQLGraphClustered'
    _edgeDictClass = list
    _pickleAttrs = SQLGraphClustered._pickleAttrs.copy()
    _pickleAttrs.update(dict(graph=0))
    def keys(self):
        self.load()
        result = []
        for edge_id,l in self.d.iteritems():
            for source_id,target_id in l:
                result.append((self.graph.unpack_source(source_id),
                               self.graph.unpack_target(target_id),
                               self.graph.unpack_edge(edge_id)))
        return result

class ForeignKeyInverse(object):
    'map each key to a single value according to its foreign key'
    def __init__(self,g):
        self.g = g
    def __getitem__(self,obj):
        self.check_obj(obj)
        source_id = getattr(obj,self.g.keyColumn)
        if source_id is None:
            return None
        return self.g.sourceDB[source_id]
    def __setitem__(self,obj,source):
        self.check_obj(obj)
        if source is not None:
            self.g[source][obj] = None # ENSURES ALL THE RIGHT CACHING OPERATIONS DONE
        else: # DELETE PRE-EXISTING EDGE IF PRESENT
            if not hasattr(obj,'_localOnly'): # ONLY CACHE, DON'T SAVE TO DATABASE
                old_source = self[obj]
                if old_source is not None:
                    del self.g[old_source][obj]
    def check_obj(self,obj):
        'raise KeyError if obj not from this db'
        try:
            if obj.db != self.g.targetDB:
                raise AttributeError
        except AttributeError:
            raise KeyError('key is not from targetDB of this graph!')
    def __contains__(self,obj):
        try:
            self.check_obj(obj)
            return True
        except KeyError:
            return False
    def __iter__(self):
        return self.g.targetDB.itervalues()
    def keys(self):
        return self.g.targetDB.values()
    def iteritems(self):
        for obj in self:
            source_id = getattr(obj,self.g.keyColumn)
            if source_id is None:
                yield obj,None
            else:
                yield obj,self.g.sourceDB[source_id]
    def items(self):
        return list(self.iteritems())
    def itervalues(self):
        for obj,val in self.iteritems():
            yield val
    def values(self):
        return list(self.itervalues())
    def __invert__(self):
        return self.g

class ForeignKeyEdge(dict):
    '''edge interface to a foreign key in an SQL table.
Caches dict of target nodes in itself; provides dict interface.
Adds or deletes edges by setting foreign key values in the table'''
    def __init__(self,g,k):
        dict.__init__(self)
        self.g = g
        self.src = k
        for v in g.targetDB.select('where %s=%%s' % g.keyColumn,(k.id,)): # SEARCH THE DB
            dict.__setitem__(self,v,None) # SAVE IN CACHE
    def __setitem__(self,dest,v):
        if not hasattr(dest,'db') or dest.db != self.g.targetDB:
            raise KeyError('dest is not in the targetDB bound to this graph!')
        if v is not None:
            raise ValueError('sorry,this graph cannot store edge information!')
        if not hasattr(dest,'_localOnly'): # ONLY CACHE, DON'T SAVE TO DATABASE
            old_source = self.g._inverse[dest] # CHECK FOR PRE-EXISTING EDGE
            if old_source is not None: # REMOVE OLD EDGE FROM CACHE
                dict.__delitem__(self.g[old_source],dest)
        #self.g.targetDB._update(dest.id,self.g.keyColumn,self.src.id) # SAVE TO DB
        setattr(dest,self.g.keyColumn,self.src.id) # SAVE TO DB ATTRIBUTE
        dict.__setitem__(self,dest,None) # SAVE IN CACHE
    def __delitem__(self,dest):
        #self.g.targetDB._update(dest.id,self.g.keyColumn,None) # REMOVE FOREIGN KEY VALUE
        setattr(dest,self.g.keyColumn,None) # SAVE TO DB ATTRIBUTE
        dict.__delitem__(self,dest) # REMOVE FROM CACHE

class ForeignKeyGraph(object, UserDict.DictMixin):
    '''graph interface to a foreign key in an SQL table
Caches dict of target nodes in itself; provides dict interface.
    '''
    def __init__(self, sourceDB, targetDB, keyColumn, autoGC=True, **kwargs):
        '''sourceDB is any database of source nodes;
targetDB must be an SQL database of target nodes;
keyColumn is the foreign key column name in targetDB for looking up sourceDB IDs.'''
        if autoGC: # automatically garbage collect unused objects
            self._weakValueDict = RecentValueDictionary(autoGC) # object cache
        else:
            self._weakValueDict = {}
        self.autoGC = autoGC
        self.sourceDB = sourceDB
        self.targetDB = targetDB
        self.keyColumn = keyColumn
        self._inverse = ForeignKeyInverse(self)
    _pickleAttrs = dict(sourceDB=0, targetDB=0, keyColumn=0, autoGC=0)
    __getstate__ = standard_getstate ########### SUPPORT FOR PICKLING
    __setstate__ = standard_setstate
    def _inverse_schema(self):
        'provide custom schema rule for inverting this graph... just use keyColumn!'
        return dict(invert=True,uniqueMapping=True)
    def __getitem__(self,k):
        if not hasattr(k,'db') or k.db != self.sourceDB:
            raise KeyError('object is not in the sourceDB bound to this graph!')
        try:
            return self._weakValueDict[k.id] # get from cache
        except KeyError:
            pass
        d = ForeignKeyEdge(self,k)
        self._weakValueDict[k.id] = d # save in cache
        return d
    def __setitem__(self, k, v):
        raise KeyError('''do not save as g[k]=v.  Instead follow a graph
interface: g[src]+=dest, or g[src][dest]=None (no edge info allowed)''')
    def __delitem__(self, k):
        raise KeyError('''Instead of del g[k], follow a graph
interface: del g[src][dest]''')
    def keys(self):
        return self.sourceDB.values()
    __invert__ = standard_invert

def describeDBTables(name,cursor,idDict):
    """
    Get table info about database <name> via <cursor>, and store primary keys
    in idDict, along with a list of the tables each key indexes.
    """
    cursor.execute('use %s' % name)
    cursor.execute('show tables')
    tables={}
    l=[c[0] for c in cursor.fetchall()]
    for t in l:
        tname=name+'.'+t
        o=SQLTable(tname,cursor)
        tables[tname]=o
        for f in o.description:
            if f==o.primary_key:
                idDict.setdefault(f, []).append(o)
            elif f[-3:]=='_id' and f not in idDict:
                idDict[f]=[]
    return tables



def indexIDs(tables,idDict=None):
    "Get an index of primary keys in the <tables> dictionary."
    if idDict==None:
        idDict={}
    for o in tables.values():
        if o.primary_key:
            if o.primary_key not in idDict:
                idDict[o.primary_key]=[]
            idDict[o.primary_key].append(o) # KEEP LIST OF TABLES WITH THIS PRIMARY KEY
        for f in o.description:
            if f[-3:]=='_id' and f not in idDict:
                idDict[f]=[]
    return idDict
        


def suffixSubset(tables,suffix):
    "Filter table index for those matching a specific suffix"
    subset={}
    for name,t in tables.items():
        if name.endswith(suffix):
            subset[name]=t
    return subset


PRIMARY_KEY=1

def graphDBTables(tables,idDict):
    g=dictgraph()
    for t in tables.values():
        for f in t.description:
            if f==t.primary_key:
                edgeInfo=PRIMARY_KEY
            else:
                edgeInfo=None
            g.setEdge(f,t,edgeInfo)
            g.setEdge(t,f,edgeInfo)
    return g

SQLTypeTranslation= {types.StringType:'varchar(32)',
                     types.IntType:'int',
                     types.FloatType:'float'}

def createTableFromRepr(rows,tableName,cursor,typeTranslation=None,
                        optionalDict=None,indexDict=()):
    """Save rows into SQL tableName using cursor, with optional
       translations of columns to specific SQL types (specified
       by typeTranslation dict).
       - optionDict can specify columns that are allowed to be NULL.
       - indexDict can specify columns that must be indexed; columns
       whose names end in _id will be indexed by default.
       - rows must be an iterator which in turn returns dictionaries,
       each representing a tuple of values (indexed by their column
       names).
    """
    try:
        row=rows.next() # GET 1ST ROW TO EXTRACT COLUMN INFO
    except StopIteration:
        return # IF rows EMPTY, NO NEED TO SAVE ANYTHING, SO JUST RETURN
    try:
        createTableFromRow(cursor, tableName,row,typeTranslation,
                           optionalDict,indexDict)
    except:
        pass
    storeRow(cursor,tableName,row) # SAVE OUR FIRST ROW
    for row in rows: # NOW SAVE ALL THE ROWS
        storeRow(cursor,tableName,row)

def createTableFromRow(cursor, tableName, row,typeTranslation=None,
                        optionalDict=None,indexDict=()):
    create_defs=[]
    for col,val in row.items(): # PREPARE SQL TYPES FOR COLUMNS
        coltype=None
        if typeTranslation!=None and col in typeTranslation:
            coltype=typeTranslation[col] # USER-SUPPLIED TRANSLATION
        elif type(val) in SQLTypeTranslation:
            coltype=SQLTypeTranslation[type(val)]
        else: # SEARCH FOR A COMPATIBLE TYPE
            for t in SQLTypeTranslation:
                if isinstance(val,t):
                    coltype=SQLTypeTranslation[t]
                    break
        if coltype==None:
            raise TypeError("Don't know SQL type to use for %s" % col)
        create_def='%s %s' %(col,coltype)
        if optionalDict==None or col not in optionalDict:
            create_def+=' not null'
        create_defs.append(create_def)
    for col in row: # CREATE INDEXES FOR ID COLUMNS
        if col[-3:]=='_id' or col in indexDict:
            create_defs.append('index(%s)' % col)
    cmd='create table if not exists %s (%s)' % (tableName,','.join(create_defs))
    cursor.execute(cmd) # CREATE THE TABLE IN THE DATABASE


def storeRow(cursor, tableName, row):
    row_format=','.join(len(row)*['%s'])
    cmd='insert into %s values (%s)' % (tableName,row_format)
    cursor.execute(cmd,tuple(row.values()))

def storeRowDelayed(cursor, tableName, row):
    row_format=','.join(len(row)*['%s'])
    cmd='insert delayed into %s values (%s)' % (tableName,row_format)
    cursor.execute(cmd,tuple(row.values()))


class TableGroup(dict):
    'provide attribute access to dbname qualified tablenames'
    def __init__(self,db='test',suffix=None,**kw):
        dict.__init__(self)
        self.db=db
        if suffix is not None:
            self.suffix=suffix
        for k,v in kw.items():
            if v is not None and '.' not in v:
                v=self.db+'.'+v  # ADD DATABASE NAME AS PREFIX
            self[k]=v
    def __getattr__(self,k):
        return self[k]

def sqlite_connect(*args, **kwargs):
    sqlite = import_sqlite()
    connection = sqlite.connect(*args, **kwargs)
    cursor = connection.cursor()
    return connection, cursor

class DBServerInfo(object):
    'picklable reference to a database server'
    def __init__(self, moduleName='MySQLdb', *args, **kwargs):
        try:
            self.__class__ = _DBServerModuleDict[moduleName]
        except KeyError:
            raise ValueError('Module name not found in _DBServerModuleDict: '\
                             + moduleName)
        self.moduleName = moduleName
        self.args = args
        self.kwargs = kwargs # connection arguments

    def cursor(self):
        """returns cursor associated with the DB server info (reused)"""
        try:
            return self._cursor
        except AttributeError:
            self._start_connection()
            return self._cursor

    def new_cursor(self, arraysize=None):
        """returns a NEW cursor; you must close it yourself! """
        if not hasattr(self, '_connection'):
            self._start_connection()
        cursor = self._connection.cursor()
        if arraysize is not None:
            cursor.arraysize = arraysize
        return cursor

    def close(self):
        """Close file containing this database"""
        self._cursor.close()
        self._connection.close()
        del self._cursor
        del self._connection

    def __getstate__(self):
        """return all picklable arguments"""
        return dict(args=self.args, kwargs=self.kwargs,
                    moduleName=self.moduleName)


class MySQLServerInfo(DBServerInfo):
    'customized for MySQLdb SSCursor support via new_cursor()'
    def _start_connection(self):
        self._connection,self._cursor = mysql_connect(*self.args, **self.kwargs)
    def new_cursor(self, arraysize=None):
        'provide streaming cursor support'
        try:
            conn = self._conn_sscursor
        except AttributeError:
            self._conn_sscursor,cursor = mysql_connect(useStreaming=True,
                                                       *self.args, **self.kwargs)
        else:
            cursor = self._conn_sscursor.cursor()
        if arraysize is not None:
            cursor.arraysize = arraysize
        return cursor
    def close(self):
        DBServerInfo.close(self)
        try:
            self._conn_sscursor.close()
            del self._conn_sscursor
        except AttributeError:
            pass
    def iter_keys(self, db, selectCols=None, orderBy='', map_f=iter,
                  cache_f=lambda x:[t[0] for t in x], get_f=None, **kwargs):
        cursor = self.new_cursor()
        block_generator = BlockGenerator(db, self, cursor, selectCols=None,
                                         orderBy='', **kwargs)
        return db.generic_iterator(cursor=cursor, cache_f=cache_f,
                                   map_f=map_f, fetch_f=block_generator)


class BlockGenerator(object):
    def __init__(self, db, serverInfo, cursor, whereClause='', **kwargs):
        self.db = db
        self.serverInfo = serverInfo
        self.cursor = cursor
        self.kwargs = kwargs
        self.blockSize = 10000
        self.whereClause = ''
        #self.__iter__() # start me up!

    ## def __iter__(self):
    ##     'initialize this iterator'
    ##     self.db._select(cursor=cursor, selectCols='min(%s),max(%s),count(*)'
    ##                     % (self.db.name, self.db.name))
    ##     l = self.cursor.fetchall()
    ##     self.minID, self.maxID, self.count = l[0]
    ##     self.start = self.minID - 1 # only works for int
    ##     return self

    ## def next(self):
    ##     'get the next start position'
    ##     if self.start >= self.maxID:
    ##         raise StopIteration
    ##     return start
        
    def __call__(self):
        'get the next block of data'
        ## try:
        ##     start = self.next()
        ## except StopIteration:
        ##     return ()
        self.db._select(cursor=self.cursor, whereClause=self.whereClause,
                        limit='LIMIT %s' % self.blockSize, **kwargs)
        rows = self.cursor.fetchall()
        lastrow = rows[-1]
        if len(lastrow) > 1: # extract the last ID value in this block
            start = lastrow[self.db.data['id']]
        else:
            start = lastrow[0]
        self.whereClause = '%s>%s' %(self.db.primary_key,start)
        return rows
            
    

class SQLiteServerInfo(DBServerInfo):
    """picklable reference to a sqlite database"""
    def __init__(self, database, *args, **kwargs):
        """Takes same arguments as sqlite3.connect()"""
        DBServerInfo.__init__(self, 'sqlite',
                              SourceFileName(database), # save abs path!
                              *args, **kwargs)
    def _start_connection(self):
        self._connection,self._cursor = sqlite_connect(*self.args, **self.kwargs)
    def __getstate__(self):
        if self.args[0] == ':memory:':
            raise ValueError('SQLite in-memory database is not picklable!')
        return DBServerInfo.__getstate__(self)
        
# list of DBServerInfo subclasses for different modules
_DBServerModuleDict = dict(MySQLdb=MySQLServerInfo, sqlite=SQLiteServerInfo)

            
class MapView(object, UserDict.DictMixin):
    'general purpose 1:1 mapping defined by any SQL query'
    def __init__(self, sourceDB, targetDB, viewSQL, cursor=None,
                 serverInfo=None, inverseSQL=None, **kwargs):
        self.sourceDB = sourceDB
        self.targetDB = targetDB
        self.viewSQL = viewSQL
        self.inverseSQL = inverseSQL
        if cursor is None:
            if serverInfo is not None: # get cursor from serverInfo
                cursor = serverInfo.cursor()
            else:
                try: # can we get it from our other db?
                    serverInfo = sourceDB.serverInfo
                except AttributeError:
                    raise ValueError('you must provide serverInfo or cursor!')
                else:
                    cursor = serverInfo.cursor()
        self.cursor = cursor
        self.serverInfo = serverInfo
        self.get_sql_format(False) # get sql formatter for this db interface
    _schemaModuleDict = _schemaModuleDict # default module list
    get_sql_format = get_table_schema
    def __getitem__(self, k):
        if not hasattr(k,'db') or k.db != self.sourceDB:
            raise KeyError('object is not in the sourceDB bound to this map!')
        sql,params = self._format_query(self.viewSQL, (k.id,))
        self.cursor.execute(sql, params) # formatted for this db interface
        t = self.cursor.fetchmany(2) # get at most two rows
        if len(t) != 1:
            raise KeyError('%s not found in MapView, or not unique'
                           % str(k))
        return self.targetDB[t[0][0]] # get the corresponding object
    _pickleAttrs = dict(sourceDB=0, targetDB=0, viewSQL=0, serverInfo=0,
                        inverseSQL=0)
    __getstate__ = standard_getstate
    __setstate__ = standard_setstate
    __setitem__ = __delitem__ = clear = pop = popitem = update = \
                  setdefault = read_only_error
    def __iter__(self):
        'only yield sourceDB items that are actually in this mapping!'
        for k in self.sourceDB.itervalues():
            try:
                self[k]
                yield k
            except KeyError:
                pass
    def keys(self):
        return [k for k in self] # don't use list(self); causes infinite loop!
    def __invert__(self):
        try:
            return self._inverse
        except AttributeError:
            if self.inverseSQL is None:
                raise ValueError('this MapView has no inverseSQL!')
            self._inverse = self.__class__(self.targetDB, self.sourceDB,
                                           self.inverseSQL, self.cursor,
                                           serverInfo=self.serverInfo,
                                           inverseSQL=self.viewSQL)
            self._inverse._inverse = self
            return self._inverse

class GraphViewEdgeDict(UserDict.DictMixin):
    'edge dictionary for GraphView: just pre-loaded on init'
    def __init__(self, g, k):
        self.g = g
        self.k = k
        sql,params = self.g._format_query(self.g.viewSQL, (k.id,))
        self.g.cursor.execute(sql, params) # run the query
        l = self.g.cursor.fetchall() # get results
        if len(l) <= 0:
            raise KeyError('key %s not in GraphView' % k.id)
        self.targets = [t[0] for t in l] # preserve order of the results
        d = {} # also keep targetID:edgeID mapping
        if self.g.edgeDB is not None: # save with edge info
            for t in l:
                d[t[0]] = t[1]
        else:
            for t in l:
                d[t[0]] = None
        self.targetDict = d
    def __len__(self):
        return len(self.targets)
    def __iter__(self):
        for k in self.targets:
            yield self.g.targetDB[k]
    def keys(self):
        return list(self)
    def iteritems(self):
        if self.g.edgeDB is not None: # save with edge info
            for k in self.targets:
                yield (self.g.targetDB[k], self.g.edgeDB[self.targetDict[k]])
        else: # just save the list of targets, no edge info
            for k in self.targets:
                yield (self.g.targetDB[k], None)
    def __getitem__(self, o, exitIfFound=False):
        'for the specified target object, return its associated edge object'
        try:
            if o.db is not self.g.targetDB:
                raise KeyError('key is not part of targetDB!')
            edgeID = self.targetDict[o.id]
        except AttributeError:
            raise KeyError('key has no id or db attribute?!')
        if exitIfFound:
            return
        if self.g.edgeDB is not None: # return the edge object
            return self.g.edgeDB[edgeID]
        else: # no edge info
            return None
    def __contains__(self, o):
        try:
            self.__getitem__(o, True) # raise KeyError if not found
            return True
        except KeyError:
            return False
    __setitem__ = __delitem__ = clear = pop = popitem = update = \
                  setdefault = read_only_error

class GraphView(MapView):
    'general purpose graph interface defined by any SQL query'
    def __init__(self, sourceDB, targetDB, viewSQL, cursor=None, edgeDB=None,
                 **kwargs):
        'if edgeDB not None, viewSQL query must return (targetID,edgeID) tuples'
        self.edgeDB = edgeDB
        MapView.__init__(self, sourceDB, targetDB, viewSQL, cursor, **kwargs)
    def __getitem__(self, k):
        if not hasattr(k,'db') or k.db != self.sourceDB:
            raise KeyError('object is not in the sourceDB bound to this map!')
        return GraphViewEdgeDict(self, k)
    _pickleAttrs = MapView._pickleAttrs.copy()
    _pickleAttrs.update(dict(edgeDB=0))

# @CTB move to sqlgraph.py?

class SQLSequence(SQLRow, SequenceBase):
    """Transparent access to a DB row representing a sequence.

    Use attrAlias dict to rename 'length' to something else.
    """
    def _init_subclass(cls, db, **kwargs):
        db.seqInfoDict = db # db will act as its own seqInfoDict
        SQLRow._init_subclass(db=db, **kwargs)
    _init_subclass = classmethod(_init_subclass)
    def __init__(self, id):
        SQLRow.__init__(self, id)
        SequenceBase.__init__(self)
    def __len__(self):
        return self.length
    def strslice(self,start,end):
        "Efficient access to slice of a sequence, useful for huge contigs"
        return self._select('%%(SUBSTRING)s(%s %%(SUBSTR_FROM)s %d %%(SUBSTR_FOR)s %d)'
                            %(self.db._attrSQL('seq'),start+1,end-start))

class DNASQLSequence(SQLSequence):
    _seqtype=DNA_SEQTYPE

class RNASQLSequence(SQLSequence):
    _seqtype=RNA_SEQTYPE

class ProteinSQLSequence(SQLSequence):
    _seqtype=PROTEIN_SEQTYPE